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import os
import csv
from datetime import datetime

import gradio as gr
from gradio import components
from huggingface_hub import Repository, hf_hub_download


DATASET_REPO_URL = "https://huggingface.co/datasets/sjw/data.csv"
DATASET_REPO_ID = "sjw/data.csv"
DATA_FILENAME = "data.csv"
DIRNAME = "data"
DATA_FILE = os.path.join(DIRNAME, DATA_FILENAME)
HF_TOKEN = os.environ.get("HF_TOKEN")


try:
    hf_hub_download(
        repo_id=DATASET_REPO_ID,
        filename=DATA_FILENAME,
        force_filename=DATA_FILENAME
    )
except:
    print("File not found")


repo = Repository(
    local_dir=DIRNAME, 
    clone_from=DATASET_REPO_URL, 
    use_auth_token=HF_TOKEN
)


def generate_html() -> str:
    """Generate HTML content for the chat."""
    with open(DATA_FILE) as csvfile:
        reader = csv.DictReader(csvfile)
        rows = [row for row in reader]
        rows.reverse()

        if not rows:
            return "No messages yet"

        html = "<div class='chatbot'>"
        for row in rows:
            html += f"<div><span><b>{row['name']}</b></span> <span class='message'>{row['message']}</span></div>"
        html += "</div>"
        return html


def store_message(name: str, message: str) -> str:
    """Store the message and regenerate HTML content."""
    if name and message:
        with open(DATA_FILE, "a") as csvfile:
            writer = csv.DictWriter(csvfile, fieldnames=["name", "message", "time"])
            writer.writerow({"name": name, "message": message, "time": str(datetime.now())})
    return generate_html()


with gr.Blocks() as feedback_page:
    gr.Markdown("# User Feedback")
    name_input = components.Textbox(label="Your Username")
    message_input = components.Textbox(label="Your Feedback", lines=2)
    output_html = gr.HTML()
    submit_button = gr.Button("Submit")

    submit_button.click(store_message, inputs=[name_input, message_input], outputs=output_html)

feedback_page.launch()